Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets

IF 2.8 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL
Helen Ockenden, R. Bingham, Andrew Curtis, D. Goldberg
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引用次数: 0

Abstract

One of the largest contributors to uncertainty in predictions of sea-level rise from ice-sheet models is a lack of knowledge about the bed topography beneath ice sheets. Bed topography maps are normally made by interpolating between linear radar surveys using methods that include kriging, mass conservation and flowline diffusion, all of which may miss influential mesoscale (2–30 km) bedforms. Previous works have explored an Ice-Flow Perturbation Analysis (IFPA) approach for estimating bed topography using the surface expression of these mesoscale bedforms. Using regions of Pine Island Glacier that have been intensively surveyed by ice-penetrating radar as test sites, and a refined IFPA methodology, we find that IFPA detects bedforms capable of influencing ice flow which are not represented in Bedmachine Antarctica and other interpolated bed products. We further explore the ability of IFPA to estimate relative bed slipperiness, finding higher slipperiness in the main trunk and tributaries. Alongside other methods which estimate ice thickness, bed topography maps from IFPA have the potential to constrain projections of future sea-level rise, especially where radar data are sparse.
冰流摄动分析:一种从地表数据集估计冰盖床地形和条件的方法
在根据冰盖模型预测海平面上升时,造成不确定性的最大因素之一是缺乏对冰盖下床地形的了解。河床地形图通常是在线性雷达测量之间进行插值绘制的,使用的方法包括克里格法、质量守恒法和流线扩散法,所有这些方法都可能错过有影响的中尺度(2-30公里)河床。以前的工作已经探索了冰流摄动分析(IFPA)方法,利用这些中尺度床型的表面表达来估计床地形。利用冰透雷达密集调查的松岛冰川区域作为测试点,并使用改进的IFPA方法,我们发现IFPA检测到能够影响冰流的床型,而这些床型在Bedmachine南极洲和其他插值床型产品中没有体现出来。我们进一步探索了IFPA估算相对地层滑度的能力,发现主干流和支流的滑度较高。与其他估算冰厚的方法一样,IFPA的床地形图有可能限制对未来海平面上升的预测,特别是在雷达数据稀少的地方。
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来源期刊
Journal of Glaciology
Journal of Glaciology 地学-地球科学综合
CiteScore
5.80
自引率
14.70%
发文量
101
审稿时长
6 months
期刊介绍: Journal of Glaciology publishes original scientific articles and letters in any aspect of glaciology- the study of ice. Studies of natural, artificial, and extraterrestrial ice and snow, as well as interactions between ice, snow and the atmospheric, oceanic and subglacial environment are all eligible. They may be based on field work, remote sensing, laboratory investigations, theoretical analysis or numerical modelling, or may report on newly developed glaciological instruments. Subjects covered recently in the Journal have included palaeoclimatology and the chemistry of the atmosphere as revealed in ice cores; theoretical and applied physics and chemistry of ice; the dynamics of glaciers and ice sheets, and changes in their extent and mass under climatic forcing; glacier energy balances at all scales; glacial landforms, and glaciers as geomorphic agents; snow science in all its aspects; ice as a host for surface and subglacial ecosystems; sea ice, icebergs and lake ice; and avalanche dynamics and other glacial hazards to human activity. Studies of permafrost and of ice in the Earth’s atmosphere are also within the domain of the Journal, as are interdisciplinary applications to engineering, biological, and social sciences, and studies in the history of glaciology.
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